most citedPreserving Privacy in Large Language Models: A Survey on Current Threats and Solutions

5 citations · 5 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CL2026

RefactorPlatform: An Open-Source Harness for Controlled Evaluation of Repository-Scale Refactoring Agents

Aziz Ben Amor, Drish Mali, Mann Acharya +2

Repository-scale refactoring requires coding agents to propagate a single change across many interdependent files without altering program behavior, yet to our knowledge no existin…

cs.CR2026

Differentially Private De-identification of Dutch Clinical Notes: A Comparative Evaluation

Michele Miranda, Xinlan Yan, Nishant Mishra +4

Protecting patient privacy in clinical narratives is essential for enabling secondary use of healthcare data under regulations such as GDPR and HIPAA. While manual de-identificatio…

cs.CL2024

How to Connect Speech Foundation Models and Large Language Models? What Matters and What Does Not

Francesco Verdini, Pierfrancesco Melucci, Stefano Perna +9

The remarkable performance achieved by Large Language Models (LLM) has driven research efforts to leverage them for a wide range of tasks and input modalities. In speech-to-text (S…

cs.CR2024★ 5 cited

Preserving Privacy in Large Language Models: A Survey on Current Threats and Solutions

Michele Miranda, Elena Sofia Ruzzetti, Andrea Santilli +3

Large Language Models (LLMs) represent a significant advancement in artificial intelligence, finding applications across various domains. However, their reliance on massive interne…

eess.AS2024

An Automated End-to-End Open-Source Software for High-Quality Text-to-Speech Dataset Generation

Ahmet Gunduz, Kamer Ali Yuksel, Kareem Darwish +4

Data availability is crucial for advancing artificial intelligence applications, including voice-based technologies. As content creation, particularly in social media, experiences…